This article investigates the event-triggered control problem for stochastic nonlinear systems
with unmeasured states and unknown backlash-like hysteresis. Based on the fuzzy logic …

In this paper, adaptive neural control is proposed for a class of uncertain multi-input multi-
output (MIMO) nonlinear state time-varying delay systems in a triangular control structure …

In this paper, a new fuzzy adaptive control approach is developed for a class of SISO strict-
feedback nonlinear systems with unmeasured states. Using fuzzy logic systems to …

In this paper, a robust adaptive tracking control problem is discussed for a general class of
strict-feedback uncertain nonlinear systems. The systems may possess a wide class of …

In this paper, an adaptive fuzzy output feedback control approach is proposed for single-
input-single-output nonlinear systems without the measurements of the states. The nonlinear …

Although fuzzy control was initially introduced as a model-free control design method based
on the knowledge of a human operator, current research is almost exclusively devoted to …

Stable direct and indirect adaptive controllers are presented, which use Takagi-Sugeno
fuzzy systems, conventional fuzzy systems, or a class of neural networks to provide …

A stable adaptive fuzzy sliding-mode controller is developed for nonlinear multivariable
systems with unavailable states. When the system states are not available, the estimated …

This paper presents two indirect adaptive fuzzy control schemes for a class of uncertain
continuous-time multi-input multi-output nonlinear dynamic systems. Within these schemes …

In this paper, adaptive neural network (NN) tracking control is investigated for a class of
uncertain multiple-input-multiple-output (MIMO) nonlinear systems in triangular control …